# Copyright 2021 Tianmian Tech. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Copyright 2019 The FATE Authors. All Rights Reserved.
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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from kernel.components.deeplearning.backend.tf_keras.layers import has_builder, DENSE, DROPOUT
from kernel.components.deeplearning.backend.tf_keras.nn_model import KerasNNModel
from kernel.components.deeplearning.zoo import nn


def is_dnn_supported_layer(layer):
    return has_builder(layer) and layer in {DENSE, DROPOUT}


def build_nn_model(input_shape, nn_define, loss, optimizer, metrics,
                   is_supported_layer=is_dnn_supported_layer) -> KerasNNModel:
    return nn.build_nn_model(input_shape=input_shape,
                             nn_define=nn_define,
                             loss=loss,
                             optimizer=optimizer,
                             metrics=metrics,
                             is_supported_layer=is_supported_layer,
                             default_layer=DENSE)
